Science Analyst Resume Sample

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Marlen Torphy
8535 Johnston Vista,  Detroit, MI
+1 (555) 278 8783

Work Experience


Senior Decision Science Analyst
02/2017 - PRESENT
Houston, TX
  • Leverages business/analytical knowledge to participate in discussions with cross-functional teams to understand and collaborate on business objectives and influence solution strategies. The business problems analyzed are typically medium to large scale with impact to current and/or future business strategy
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions
  • Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy. Recommendations typically have an impact on business results
  • Leverages expert business/analytical knowledge to lead discussions with cross-functional teams to understand and collaborate highly complex business objectives and influence solution strategies. The business problems analyzed are typically large scale with significant impact to current and/or future business strategy
  • Organizes and oversees the development of requirements/resources necessary to meet objectives
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change
  • Translates recommendation into communication materials to effectively present to all levels of management
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences
Decision Science Analyst
03/2014 - 12/2016
Detroit, MI
  • Proactively manage both internal and external users’ system requests
  • Engage users in the soft launch stage and incorporate users’ feedback
  • Conduct Business Intelligence mapping discussions, configure solutions, guide system, and integration testing, and manage implemented solutions
  • Function as a liaison between IT, holdings companies and functional areas, maintaining effective management of these essential relationships
  • Assist in leading the design, implementation, and utilization of measurement tools to evaluate business process effectiveness
  • Facilitate reporting and report development using RDLC to aid problem-solving and data analysis utilizing intelligent tools
  • Proactively identify processes that would benefit from system automation to improve Business Intelligence team effectiveness and increase operating efficiencies
  • Develop strategies, schedules and work assignments to ensure that projects meet time and budget goals
  • Create comprehensive training programs and documents with the goal of creating effective end users for all Business Intelligence tools
Decision Science Analyst Intern
04/2009 - 09/2013
Chicago, IL
  • Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions
  • Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy. Recommendations typically have a major impact on business results. Provides subject matter expertise in operationalizing recommendations
  • Applies subject-matter-expert functional knowledge to produce complex work deliverables in support of departmental initiatives
  • Manages broad functional projects and/or participates as a SME project resource on larger initiatives
  • Coaches and provides on-the-job training for other team members
  • Leverages expert business/analytical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies
  • The business problems analyzed are typically large scale with significant impact to current and/or future business strategy

Education


Drew University
2004 - 2009
Bachelor's Degree in Economics

Professional Skills


  • Proven experience using problem solving skills
  • Experience working in an Agile/SAFE team environment and excellent customer service skills
  • Strong problem-solving, critical thinking, and analytical skills
  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
  • Demonstrated effective planning, organization, communication, and project management skills
  • Proven object-oriented computer programming skills (e.g., Java) and familiarity with Framework, such as GWT
  • Strong programming skills. (ie. SAS, SPSS, R)

How to write Science Analyst Resume

Science Analyst role is responsible for advanced, programming, research, analytical, reporting, drive, techniques, software, business, analysis.
To write great resume for science analyst job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Science Analyst Resume

The section contact information is important in your science analyst resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Science Analyst Resume

The section work experience is an essential part of your science analyst resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous science analyst responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular science analyst position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Science Analyst resume experience can include:

  • Strong analytical, logic, and problem-solving skills required
  • Effectively provide guidance to team members as their lead, helping to establish goals, overseeing projects and aiding in professional development
  • Proven experience using analytical methods (e.g. statistical analysis, predictive modeling, machine learning) to drive business strategy
  • Experience in developing business analytics solutions, focusing on requirements gathering and effective visualization of insights
  • Proven data modelling and analysis domain experience
  • Proven experience using Python, R, Tableau, Spotfire, Hive

Education on a Science Analyst Resume

Make sure to make education a priority on your science analyst resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your science analyst experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Science Analyst Resume

When listing skills on your science analyst resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical science analyst skills:

  • Strong data skills (i.e. well written code - commented and clean, ensures data is complete and accurate, validates data back to source system)
  • Advanced skills in building and maintaining effective business relationships and partnerships
  • Strong relationship management and negotiation skills; ability to influence senior leadership and drive business results
  • Very strong communication skills and the ability to articulate complex analytical concepts and solutions to a non-technical business audience
  • Programming Skills: Analytical programming languages SAS, Python, and querying language SQL
  • Experience in manipulating data, including mergers, validating and creating custom variables

List of Typical Experience For a Science Analyst Resume

1

Experience For Decision Science Analyst Resume

  • Proven experience in system and application development, business statistical analysis and / or forecast modeling
  • Put together state of the art presentations to effectively communicate findings to internal and external clients
  • Collaborate effectively and work as part of a team in an agile environment
  • Translates recommendation into communication materials to effectively present to various levels of management
  • Moderate experience working with Microsoft SQL or Oracle databases, tables and queries
2

Experience For Senior Decision Science Analyst Resume

  • Assist in the creation of effective communications, both oral and written, for a variety of audiences
  • Can it be tailored for maximum effectiveness?
  • Tracking projects, guidelines, budgets, procedures and timetables including recommending changes in policy and management activities
  • Modeling and Machine Learning: data mining, predictive modeling and machine learning techniques
  • Serving as an analytical resource for scientific attributes and answers questions about how to access critical program data and analytical information
  • Providing oversight on the committee of visitor process for continuous improvement of program assessments
  • Help improve existing data analyses by always researching cutting edge statistical modeling and data visualization techniques
3

Experience For Lead Decision Science Analyst Resume

  • Help with the process of curating, cleaning and manipulating data to enable scalability of analyses
  • Structures SR&ED claim and oversees all technical aspects to the claim, including assisting, when required, with project costing
  • Serve on the Business Intelligence steering committee in a leadership role
  • Participates on various cross functional project teams, following SDLC methodology and agile development to ensure business governance and acceptance of technical interpretation of requirements – this includes understanding the sensitivity of confidential information and its distribution
  • Provide technical assistance in identifying, evaluating and developing systems and procedures
  • Manage user security for new and existing Business Intelligence tools in compliance with all audit requirements
  • Help with advancing Data Visualization capabilities
  • Always strive to automate reporting where possible
  • Responds to CRA queries regarding filed projects
4

Experience For Senior Revenue Science Analyst Resume

  • Ensure creation of quality design documentations of all BI initiatives to departmental, corporate and industry standards
  • Research and test new technology solutions, vet Analystural changes that would have to occur to support enterprise adoption and determine impacts
  • Develop and maintain custom reports/dashboards, interpret and communicate results
  • Help with team to deliver customized analyses leveraging internal and external, structured and unstructured data. Manipulate large data sets to synthesize insights
  • Help deliver customized analyses leveraging internal and external, structured and unstructured datasets. Utilize advanced modeling techniques to parse out adverse experience drivers. Manipulate large data sets, using cutting edge machine learning or statistical modeling techniques and synthesizing insights
  • Help develop an analytics platform to house and analyze big data
  • Help with the process of curating, cleaning and integrating data to enable scalability of analyses. Leverage several internal databases as well as external data sources
  • Act as a test lead within the team in developing testing strategy and execution
  • Help train new staff in a growing team. Help manage additional COE resources as needed
5

Experience For Senior Science Analyst Resume

  • Support the creation of procedural documentation and training materials
  • Deliver reporting and analytical capabilities across Ameriprise Auto & Home and promote the use of new methods, techniques, and systems
  • Provide support for organization wide projects, as needed, including requirements development and quality assurance activities
  • Collaborate with other analytical teams to leverage tools and techniques developed across AIG
  • Always strive to automate analyses where possible
  • Query and transform data from target databases to support data warehouse needs
6

Experience For Color Science Analyst / Scientist Resume

  • Coordinate with other analysts and managers to clarify project responsibilities and ensure project targets are achieved for the requirements/tasks assigned
  • Assist with the implementation of business process improvements
  • Provide research and reference assistance via e-mail, phone, and in person to all EHR staff using NSF resources (including, but not limited to, online databases such as Web of Science, Scopus, and ProQuest) as well as NSF's internal database systems
  • Provide research assistance to other NSF offices, including time-sensitive requests from the Office of Legislative and Public Affairs on issues related to the research supported by EHR and in particular DRL
  • Drawing on research skills, support the EHR and division goal of identifying and reporting on the impact of awards, write summaries, highlights and short reports for inclusion on NSF Web page and other media sites
  • Represent the Division and the Directorate on internal and external committees focused on the use of data and literature for programmatic review. Represent the Directorate's needs to the NSF library, recommending needed databases and publications
  • Drawing on research skills, support the merit review process by assisting program directors in finding reviewers through searches of internal and external databases
7

Experience For Decision Science Analyst Intern Resume

  • Assist the AD, DAD, Division Directors and Deputy Division Directors preparing for meetings including Committee of Visitors, Advisory Committees and the National Science Board by providing analysis of data particularly related to the impact of the research supported by EHR's programs
  • Develop predictive models and machine learning models using Python, Spark ML and R
  • Determines go-to-market tactics related to specific target customers, markets and products in terms of marketing communication and sales calls
  • Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering/operations research), SAS, SQL, UNIX and fourth-generation programming languages
  • Provide solutions, services and expertise for legal, finance, risk and compliance companies to better manage governance, risk and compliance challenges in dynamic markets and regulatory environments
8

Experience For Science Analyst, Senior & ED Resume

  • Provide solutions using Artificial Intelligence to improve business performance, decision making and customer offerings
  • Work on big data technologies and optimize machine learning models accordingly and operationalize those models into business applications
  • Collaborate with other scientists and the business teams to understand artificial intelligence needs and translate them into solutions
  • Serves as an analytical resource for scientific attributes and answers questions about how to access critical program data and analytical information
  • Gathers raw data from multiple scientific sources, such as literature databases and scientific databases in order to design queries; and analyzes and presents findings to management
  • The incumbent conducts moderate to very complex qualitative and quantitative analyses, using research trends and outcomes to inform proposal processing activities and policy related to scientific content
  • Prepares analytical, comparative and statistical reports of program activities
  • Serve as the division “webmaster”, oversees the highlight process, coordinates with cognizant Program Directors or division management on needed changes, and revises information while working with the directorate IT staff as necessary
  • Performs management studies to evaluate and measure the progress and success of projects assigned to identify and recommend ways to improve the effectiveness and efficiency of cross directorate programs and activities
9

Experience For Revenue Science Analyst Resume

  • Collects pertinent statistical data and narrative information from a variety of sources within and outside NSF. Applies various analytical techniques to data management systems in order to identify patterns and trends. Develops tracking and reporting systems to monitor activities to ensure that activities meet established guidelines and schedules
  • Assists the Division Director and Deputy Division Director in the oversight of the Committee of Visitor processes, statistical reporting and program activities
  • Support and provide ongoing outreach activities and partnership for research societies and universities
  • Assists the Division Director and Deputy Division Director in preparing materials research news articles for Newsletter
  • Draws on knowledge of program portfolios and results to assist in the merit review and award oversight processes and as needed
  • Use the databases and sources of information necessary to support the activities of OAD
  • Research and Synthesize disparate information into succinct, coherent work products that are completed in a timely manner, often with very short deadlines
  • Collaborate collegially on OAD, EHR, NSF, and other federal groups assigned
10

Experience For Decision Science Analyst Senior Resume

  • On behalf of EHR, participate on other NSF and interagency activities related to STEM education
  • Assist the AD and DAD in the successful implementation of EHR's mission
  • Leverages expert business/analytical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies
  • The business problems analyzed are typically medium to large scale with significant impact to current and/or future business strategy
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA)
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply
  • InformationWeek “Elite 100” – 2016

List of Typical Skills For a Science Analyst Resume

1

Skills For Decision Science Analyst Resume

  • Strong communication skills and presentation skills; the ability to communicate the story the data tells
  • Experience dealing with messy data, data cleaning, and data validation
  • Work on multiple projects, manage competing priorities and prioritize workflow
  • Lead a small team on multiple projects, manage competing priorities and prioritize workflow
  • Experience with Machine Learning algorithms and experience in their application to solve business problems
  • Demonstrate high personal standards of behavior in a professional environment. Demonstrate credibility, competence, and the ability to manage through influence
  • In work effectively in teams and independently, and to handle evolving expectations and tight deadlines
2

Skills For Senior Decision Science Analyst Resume

  • Proven experience in statistical analysis package (e.g., SAS), and with relational databases, UNIX and Windows environments
  • Strong knowledge of workforce human resources industry data & methods and demonstrated ability to connect external insights to business problems
  • Knowledge of statistics and programming skills
  • Marketing and/or Digital Analytics experience
  • Experience in cleansing data, including managing missing data, outliers, and duplicates
3

Skills For Lead Decision Science Analyst Resume

  • Financial Service industry experience in machine learning, statistical modeling, optimization or data mining involving large data sets
  • Experience constructing and running simulation models using software such as AnyLogic
  • Experience with using and applying machine learning models
  • Marketing industry experience including working knowledge of digital channels, direct tactics, and/or traditional media
  • Experience developing, designing and analyzing controlled experiments
  • Solid understanding of predictive model development (machine learning algorithms) using unstructured data
  • Strong knowledge 1-3 years identifying, documenting and analyzing business and/or data requirements
  • Strong knowledge 3-4 years identifying, documenting and analyzing business and/or data requirements
  • Experience presenting and communicating findings/recommendations to cross-functional teams and/or leadership. - Advanced knowledge of data analysis tools
4

Skills For Senior Revenue Science Analyst Resume

  • Demonstrated familiarity with relational databases and in manipulating large data sets using SQL and/or SAS
  • Demonstrated understanding of business concepts relevant to revenue management, marketing, and finance
  • Experience developing and/or matching colors (effect and straight shades)
  • Experience in Marketing Analytics, Statistics or Marketing and business related field
  • Experience conducting analysis and drawing business conclusions from tests and pilots
  • Experience using/developing analysis queries and procedures in SQL or SAS
  • Experience using/building forecast models
5

Skills For Senior Science Analyst Resume

  • Previous experience working in analytics in finance and/or banking environment
  • Strong knowledge in developing analysis queries and procedures in SAS/SQL or other programming language used to deliver insights to key business partners
  • Familiarity with contact center and digital terminology, providing insights and recommendations on improving efficiencies and effectiveness
  • Experience with Design of Experiments, A/B testing, Test & Learn activities, cohort analysis and delivering insights
  • Deposits, Credit Card, Lending, Marketing or Digital Analytics experience
  • Advanced experience with the following applications / programming languages SAS / SQL / Hadoop / Hive
  • Experience in automating recurring processes
  • Previous experience doing analytics in a banking and/or insurance within the call center environment
6

Skills For Color Science Analyst / Scientist Resume

  • Experience with leading discussions, facilitation, and coaching
  • Experience with providing staffing forecast support for Claims
  • Advanced analytical experience; predictive modeling, machine learning and other techniques to deliver insights
  • Eliminate data silos and bridge gaps between holdings companies using effective data models that enable cross functional and rolled-up holdings level reporting
  • Marketing industry experience
  • Experience presenting complex data & analysis in a clear, concise manner
  • Work independently and collaborative in a team environment under tight timelines and competing priorities
  • Mortgage or banking experience
7

Skills For Decision Science Analyst Intern Resume

  • Experience working with data analysis in contact center and/or workforce management
  • Demonstrated competency in mathematical/statistical techniques and approaches used to drive fact-based decision-making
  • Experience working with little direction
  • Experience Working in a Hadoop Environment
  • Experience designing business experiments to support a test and learn methodology
  • Experience working with SAS, SQL, or other analysis software
8

Skills For Science Analyst, Senior & ED Resume

  • Hadoop Experience (Utilize tools such as Hive, Pig, etc. for extraction and modeling purposes)
  • Demonstrated ability to build visualizations using a variety of tools and languages such as R, Python, Adobe Illustrator, JavaScript, Tableau, and SAP Lumira
  • Experience with emerging analytical techniques and ability to learn new techniques quickly
  • Experience managing internal metrics, data, and business intelligence strategies
  • Experience working with SAS, SQL, Python, or other analysis software
  • Experience working with SAS, SQL, Python, Business Objects or other analysis software
  • Experience providing data driven decision support for complex business areas
9

Skills For Revenue Science Analyst Resume

  • Experience in managing risks and controls
  • Experience building robust visualizations in Tableau or Business Objects
  • Technical and programming experience with SAS, SPSS languages
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews
  • Experience or knowledge using Qualtrics
  • Previous experience presenting to leadership
  • Experience working in a matrixed team environment / Agile framework
10

Skills For Decision Science Analyst Senior Resume

  • Experience in senior management performance metrics, reporting and analytics
  • Experience developing statistical models with SAS or R
  • Proven ability to analyze complex issues and business-related problems
  • Proven ability to work as part of a team as well as independently
  • Self-motivated; willingness & strong desire to learn
  • AWS, Sagemaker, PMML, and Java experience desired
  • Significant experience using programming languages relevant to processing, querying and analyzing large datasets such as Python and SQL
  • Experience in a decision support analytic function. OR

List of Typical Responsibilities For a Science Analyst Resume

1

Responsibilities For Decision Science Analyst Resume

  • As required by the Division Director, Sections Heads or Program Directors, develop reports, studies, and analyses of research funded by the Division and its outcomes
  • Proven project management skills – ability to manage and coordinate large and complex projects across the organization
  • Advanced data visualization skills
  • Strong and effective communication (both written and verbal) with colleagues and business leaders
  • Communicates project information effectively internally
2

Responsibilities For Senior Decision Science Analyst Resume

  • Experience with intellectual property and a working knowledge of the different forms of intellectual property protection
  • Experience with product commercialization or a working knowledge of product development processes
  • Experience with Python scripting
  • Previous experience implementing ground up frameworks, strategies, and structure for a data and analytics practice
  • Strong knowledge of Bell Canada’s organization, product/services, process is an asset
  • If PhD, 0 years’ experience in a decision support analytic function OR
  • P&C and/or FASG Experience
  • Demonstrated ability to deliver data-driven insights that influence business stakeholder decisions
  • Demonstrated ability to share data driven insights and influence business decisions/results
3

Responsibilities For Lead Decision Science Analyst Resume

  • Analytical experience in financial services, healthcare or other 'data rich' field
  • Experience in python, SAS, R or similar platform desired
  • Presentation and PowerPoint experience
  • Experience in Financial Services in general or in Credit Card products, operational processes, and data
  • Experience with data and analytics tools and technologies such as Oracle, Netezza, DB2, SQL Server, Business Objects, SAS and Tableau
  • Experience in Hadoop environments
  • Contact center analytics experience
  • Business Objects or Tableau experience
4

Responsibilities For Senior Revenue Science Analyst Resume

  • Risk and risk issues management experience
  • Previous knowledge and experience with data visualization tool
  • Previous experience with SQL, SAS, SPSS or other data analytics tools
  • Knowledge of and experience with member contact data sources such as MCID and MAAC
  • Knowledge of the Bank Call Center or Bank Process Experience
  • Strong desire to learn new systems and collaborate with our IT Partners to develop Business solutions
  • Experience in model development or model risk
  • Basic knowledge and experience in process excellence methodologies
5

Responsibilities For Senior Science Analyst Resume

  • Experience with the P&C data environment to include ADS, PMADS etc
  • Packaging, presentations, and presenting to executive levels
  • Working knowledge of P&C and Enterprise: data, systems, and business
  • Working knowledge developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software
  • Working knowledge of test software such as APT (Applied Predictive Technologies) or other similar testing packages
  • Advanced knowledge 5+ years identifying, documenting and analyzing business and/or data requirements
  • Creative Thinking: 1-3 years Questioning established business practices and brainstorming new approaches to data analysis
  • Data Analysis: 5+ years Employing best practices to analyze and extract large amounts of data across applications while maintaining intense attention to detail
  • Create presentations, graphics, and other media highlighting AGS programs and outcomes for a variety of internal and external audiences
6

Responsibilities For Color Science Analyst / Scientist Resume

  • Participate in overall project design and delivery with Risk modeling’s other functional teams and end-clients. (10%)
  • Exposure to bank or marketing analytics
  • Familiar with the P&C business (claims, underwriting, front line)
  • Learn new concepts extremely quickly, understand and communicate broad strategic directives, and execute in an uncertain and changing environment
  • A working knowledge of venture capital and equity investment processes
7

Responsibilities For Decision Science Analyst Intern Resume

  • Work in a fast-paced environment while delivering exceptional results
  • Examine and explore data from multiple disparate sources with the goal of discovering insights
  • Able to design scalable and manageable solutions that are flexible and can evolve within an ever-changing environment
  • Data Wrangling and Data Intuition
  • Digital Analytics Reporting
  • Work constructively with other Barclays resources to deliver projects. (5%)
8

Responsibilities For Science Analyst, Senior & ED Resume

  • Work other DS staff to ensure project completion within agreed time frames and end-client satisfaction. (5%)
  • Contribute to the broader Risk modeling department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaboration. (5%)
  • Complex relational database development, maintenance, and exception testing experience required (MS Access, Data Warehouse, Oracle, or other)
  • Experience working with various DW, BI, or ERP software packages (Tableau, SAP Business Objects, SAS Business Intelligence, Cognos, SAP, Data Stage, Informatica, Oracle, JDE, QAD, etc.)
  • Experience with data modeling strategies and related technical documentation, understanding of universe structure types and corresponding functionality, ability to design, execute, and document test scenarios
9

Responsibilities For Revenue Science Analyst Resume

  • Manage multiple projects, competing priorities, and ensure follow-through on committed deliverables
  • Working knowledge of classification models like SVM, Naïve Bayes, Random Forest, Decision Tree and/or similar models
  • Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and/or data issues to affected members of departments
  • Expertise in one or more modeling/machine learning platforms as such as R, SAS, and Python
  • Knowledge of, and interest in, NSF's processes for supporting fundamental research and education
  • Strong skills in research, text and data analysis, and data visualization that evidence the ability to perform extensive inquiry into research portfolios, outcomes and impacts using large, complex datasets
10

Responsibilities For Decision Science Analyst Senior Resume

  • Communicate complex scientific and technical information effectively to both expert and non-expert audiences, including in written reports and oral presentations
  • Expertise in Natural Language Processing techniques
  • Can it be targeted for maximum impact?
  • Key contributor to analyze business problems of up to medium complexity
  • Typically works in tandem with peers from other groups, independently attends cross-functional meetings and discussions to understand analytical requirements across enterprise business functions
  • Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest)
  • Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees ) Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modelling)

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